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中国地理科学(英文版)
中国地理科学(英文版)

朱颜明

双月刊

1002-0063

egeoscien@neigae.ac.cn

0431-85542243

130012

长春市高新路3195号

中国地理科学(英文版)/Journal Chinese Geographical ScienceCSCDCSTPCD北大核心SCI
查看更多>>本刊是综合性英文地理学术刊物,主要报道自然地理学及其分支学科,人文地理学及其分支学科,遥感及地理信息系统,地图学,当今国际上关注的,如人口、资源、环境等重大问题。本刊为Current Geographical Publications和Elsevier的Geo Abstracts来源期刊;美国国会图书馆馆藏期刊;《中国期刊评价数据库》和《中国科学引文数据库》来源期刊;《中国期刊网》和《中国学术期刊(光盘版)》全文收录期刊。国内外公开发行。
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    Integration of Multiple Spectral Data via a Logistic Regression Al-gorithm for Detection of Crop Residue Burned Areas:A Case Study of Songnen Plain,Northeast China

    ZHANG SumeiZHANG YuanZHAO Hongmei
    548-563页
    查看更多>>摘要:The burning of crop residues in fields is a significant global biomass burning activity which is a key element of the terrestrial carbon cycle,and an important source of atmospheric trace gasses and aerosols.Accurate estimation of cropland burned area is both cru-cial and challenging,especially for the small and fragmented burned scars in China.Here we developed an automated burned area map-ping algorithm that was implemented using Sentinel-2 Multi Spectral Instrument(MSI)data and its effectiveness was tested taking Songnen Plain,Northeast China as a case using satellite image of 2020.We employed a logistic regression method for integrating mul-tiple spectral data into a synthetic indicator,and compared the results with manually interpreted burned area reference maps and the Moderate-Resolution Imaging Spectroradiometer(MODIS)MCD64A1 burned area product.The overall accuracy of the single variable logistic regression was 77.38%to 86.90%and 73.47%to 97.14%for the 52TCQ and 51TYM cases,respectively.In comparison,the ac-curacy of the burned area map was improved to 87.14%and 98.33%for the 52TCQ and 51TYM cases,respectively by multiple vari-able logistic regression of Sentind-2 images.The balance of omission error and commission error was also improved.The integration of multiple spectral data combined with a logistic regression method proves to be effective for burned area detection,offering a highly automated process with an automatic threshold determination mechanism.This method exhibits excellent extensibility and flexibility taking the image tile as the operating unit.It is suitable for burned area detection at a regional scale and can also be implemented with other satellite data.

    Comparative Assessment of Impacts of Future Climate Change on Run-off in Upper Daqinghe Basin,China

    INGABIRE RomaineCHANG YuruLIU XiaCAO Bo...
    564-578页
    查看更多>>摘要:Assessing runoff changes is of great importance especially its responses to the projected future climate change on local scale basins because such analyses are generally done on global and regional scales which may lead to generalized conclusions rather than specific ones.Climate change affected the runoff variation in the past in the upper Daqinghe Basin,however,the climate was mainly considered uncertain and still needs further studies,especially its future impacts on runoff for better water resources management and planning.Integrated with a set of climate simulations,a daily conceptual hydrological model(MIKE11-NAM)was applied to assess the impact of climate change on runoff conditions in the Daomaguan,Fuping and Zijingguan basins in the upper Daqinghe Basin.Historic-al hydrological data(2008-2017)were used to evaluate the applicability of the MIKE 11-NAM model.After bias correction,future pro-jected climate change and its impacts on runoff(2025-2054)were analysed and compared to the baseline period(1985-2014)under three shared social economic pathways(SSP1-2.6,SSP2-4.5,and SSP5-8.5)scenarios from Coupled Model Intercomparison Project Phase 6(CMIP6)simulations.The MIKE-11 NAM model was applicable in all three Basins,with both R2 and Nash-Sutcliffe Effi-ciency coefficients greater than 0.6 at daily scale for both calibration(2009-2011)and validation(2012-2017)periods,respectively.Al-though uncertainties remain,temperature and precipitation are projected to increase compared to the baseline where higher increases in precipitation and temperature are projected to occur under SSP2-4.5 and SSP5-8.5 scenarios,respectively in all the basins.Precipitation changes will range between 12%-19%whereas temperature change will be 2.0℃-2.5℃ under the SSP2-4.5 and SSP5-8.5 scenarios,re-spectively.In addition,higher warming is projected to occur in colder months than in warmer months.Overall,the runoff of these three basins is projected to respond to projected climate changes differently because runoff is projected to only increase in the Fuping basin under SSP2-4.5 whereas decreases in both Daomaguan and Zijingguan Basins under all scenarios.This study's findings could be im-portant when setting mitigation strategies for climate change and water resources management.